Disaster messages classifier webapp
Project for Data Engineering section in Udacity Data Science Nanodegree program. Dataset was provided by FigureEight which are tweets and texts that were sent during real world disasters and are labeled into 36 categories. The core idea of this project is to automate detecting unpredictable disasters so people could find their aid appropriately and quickly.
will output
Example 2
If you input something unrelated like
This correctly output none of the categories
To RUN THE APP head into 'disaster-response' folder -> 'disaster_response_pipeline_project' folder and follow instructions on README.md.
Note that .pkl file is missing due to its size (2GB). You can generate the model instead by following the instruction above.
Libraries used: pandas, plotly, sqlalchemy, sklearn, pickle, json, nltk, joblib, flask, numpy, re